w1 / w2 dpw-3 results - nasa 2 of 21, brodersen dpw-3, june 2006 unstructured method: tau • rans...
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W1 / W2 DPW-3 Results
B. Eisfeld, J. Raddatz, P. Frohnapfel, O. BrodersenInstitute of Aerodynamics and Flow Technology
DLR38108 Braunschweig
Germany
Slide 2 of 21, Brodersen
DPW-3, June 2006
Unstructured Method: TAU
• RANS solver DLR TAU• Unstructured database• State-of-the-Art algorithms• 1- and 2-eq. turbulence models• Fluid-Structure coupling• Overlapping grids• Grid adaptation• Hypersonic extensions• C code and Python scripting• High performance on parallel machines• Applied in European aircraft industryand research
Slide 3 of 21, Brodersen
DPW-3, June 2006
Structured Method: FLOWer
• RANS solver DLR FLOWer• Structured database• Advanced turbulence and transition models
• Top-level algorithms (FV, MG, dual time)• Steady and unsteady flows• Chimera technique for moving bodies • Flow / structure coupling • Design options (inverse design, adjoint)• Fortran, portable code• Optimized for vector computers• Parallelized code
Slide 4 of 21, Brodersen
DPW-3, June 2006
Unstructured Grids
• Unstructured hybrid grids generated with Centaur from Centaursoft• 3 grid densities• Specification of sources• 4. grid by TAU adaptation
40
186787188794
10.1 / 9.9
Fine
403020Prismatic layers
355163352802
113182114677
4948951186
Boundarynodes
17.0 / 16.65.3 / 5.02.1 / 1.9Nodes
Fine AdapMediumCoarse
medium fine fine adapted
coarse
Slide 5 of 21, Brodersen
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TAU Results
Grid Convergence Study of CD, α=0.5o
Influence of SAE / kw-SST
Slide 6 of 21, Brodersen
DPW-3, June 2006
TAU Results
Grid Convergence Study of CD, α=0.5o
Influence of SAE / kw-SST
Slide 7 of 21, Brodersen
DPW-3, June 2006
TAU Results
Grid Influence on Cp, α=0.5o
SAE model
η=0.026 η=0.551
W1
Slide 8 of 21, Brodersen
DPW-3, June 2006
TAU Results
Influence W1 / W2SAE / SST
η=0.026 η=0.551
W1 W2
Slide 9 of 21, Brodersen
DPW-3, June 2006
TAU Results
Influence of Turbulence Models SAE / kw-SST
W1 W2
Slide 10 of 21, Brodersen
DPW-3, June 2006
TAU Results
Influence of Turbulence Models SAE / kw-SST
W1 W2
Slide 11 of 21, Brodersen
DPW-3, June 2006
TAU Results
Influence of Turbulence Models SAE / kw-SST
W1 SAE
W2 SSTW1 SST
W2 SAE
Slide 12 of 21, Brodersen
DPW-3, June 2006
TAU Results
Influence of Turbulence Models SAE / kw-SST
Slide 13 of 21, Brodersen
DPW-3, June 2006
Structured Grids
• Structured grids generated by Boeing using ICEM
8.6
Fine
14.84.21.6Nodes
Very fineMediumCoarse
Slide 14 of 21, Brodersen
DPW-3, June 2006
FLOWer Results
Grid Convergence, SST / SSG-LLR-w, α=0.5o
Slide 15 of 21, Brodersen
DPW-3, June 2006
FLOWer Results
Grid Convergence, SST / SSG-LLR-w, α=0.5o
Slide 16 of 21, Brodersen
DPW-3, June 2006
FLOWer Results
Influence of Turbulence Models SST / SSG-LLR-w
η=0.026 η=0.551
fine
Slide 17 of 21, Brodersen
DPW-3, June 2006
FLOWer Results
Influence of Turbulence Models SST / SSG-LLR-w
W1 W2
Slide 18 of 21, Brodersen
DPW-3, June 2006
FLOWer Results
Influence of Turbulence Models SST / SSG-LLR-w
Slide 19 of 21, Brodersen
DPW-3, June 2006
FLOWer Results
Influence of Turbulence Models SST / SSG-LLR-w
Slide 20 of 21, Brodersen
DPW-3, June 2006
FLOWer Results
Influence of Turbulence Models SST / SSG-LLR
Slide 21 of 21, Brodersen
DPW-3, June 2006
Summary
• TAU SAE / kw-SST and FLOWer SST / SSG-LLR-w results showgood grid convergence behaviour
• Grid refinement improves shock resolution• TAU:
- Small upstream shift of shock location for SST vs. SAE- SAE shows higher CLmax and lower CD (vers. SST)
• FLOWer:- No significant differences of Cp for SST / SSG-LLR-w- SSG-LLR-w shows higher CLmax and lower CD (vers. SST)- SSG-LLR-w shows higher CD in linear range (α<1.5o); lower CD above
• Similar delta drag W1-W2 for both methods / turbulence models in linear range of CL-α